EY-Parthenon - Strategy and Execution - Growth Platforms - Data Scientist - Sr Associate/Consultant at EY
Seattle, WA
$130,000–$185,000from the description
Jul 6, 2026
Seattle, WA
Jul 21, 2026
What this job asks for AI summary
A data engineering-focused role within a strategy consulting firm's AI platform team, responsible for building and maintaining multi-source data pipelines that feed AI/ML models and client-facing dashboards. Day-to-day work involves ingesting, cleaning, and transforming structured and semi-structured data from third-party sources, designing feature stores and semantic layers, and enforcing data quality standards. Best suited to someone with a background in data engineering or hybrid data science roles who is comfortable working directly with business stakeholders.
Mid level · 2+ years · New York-Newark-Jersey City, NY-NJ-PA · Bachelor's required · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 3 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 190 people in the New York-Newark-Jersey City, NY-NJ-PA area plausibly meet what this posting asks for (database architects). range 140–250
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $134,433 (middle half $95,331–$179,625). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (6)
The role is titled 'Data Scientist' but its primary day-to-day work is clearly data engineering: building and scaling multi-source ETL/ELT pipelines, schema management, feature stores, and data access layers for ML. 15-1243 (Database Architects) was chosen over 15-2051 (Data Scientists) because the JD explicitly centers on pipeline design, data infrastructure, and schema/provenance work rather than modeling or statistical analysis. 15-2051 is listed as the runner-up given the 'Data Scientist' title and ML-adjacency.
The posting lists multiple US cities (New York, Atlanta, Boston, Chicago, Dallas, Denver, Detroit, Houston, Los Angeles, McLean, Hoboken, Philadelphia, San Francisco, Seattle). New York is listed first and is the most prominent EY-Parthenon hub; the metro is set to New York-Newark-Jersey City accordingly, but candidates may be based in any of the listed cities.
The title 'Senior Associate/Consultant' carries no standard seniority level in the EY naming convention that maps cleanly to Junior/Mid/Senior. The experience gate (bachelor's + 2 years, or graduate degree + ~18 months) and the scope of responsibilities (pipeline design, client-facing work, but not org-wide technical authority) support a Mid-level classification.
Airflow and dbt are listed together as orchestration tools in a single requirement ('Airflow, dbt'). They are distinct tools used alongside each other in a stack, so they are emitted as separate skills; however, because the JD phrases them as a paired example of 'orchestration tools,' each is also listed as an alternative for the other to reflect that either alone may satisfy the requirement.
Cloud platforms (GCP/AWS, Snowflake, BigQuery, Databricks, Delta Lake) are listed as a single familiarity requirement with 'e.g.' framing. GCP/AWS is emitted as the primary with AWS as an alternative; Snowflake is emitted as the primary data-platform skill with BigQuery, Databricks, and Delta Lake as alternatives.
Microsoft Copilot appears only under the 'Ideally, you will have' (preferred) section.
Read the full posting
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